Outputs

Wonkyconn performs group-level analysis and writes the following files to the output directory.

metrics.tsv

A tab-separated file containing group-level quality control and connectivity metrics, indexed by the grouping variable (e.g. atlas segmentation). Columns include:

• median_absolute_qcfc — Median absolute QC-FC correlation across edges.

• percentage_significant_qcfc — Percentage of edges with significant QC-FC correlation.

• distance_dependence — Correlation between QC-FC values and inter-node distance.

• gcor — Global correlation (mean and SEM across subjects).

• dmn_vis_distance_vs_dmn_fpn — Paired t-statistic comparing DMN–visual vs DMN–FPN mean connectivity distance.

• dmn_similarity_mean — Mean correlation of individual connectivity patterns with the DMN template.

• dmn_similarity_std — Standard deviation of the DMN similarity across subjects.

• degrees_of_freedom_loss_mean — Mean degrees of freedom lost to denoising.

• degrees_of_freedom_loss_std — Standard deviation of degrees of freedom loss.

• sex_auc — AUC for sex classification from connectivity (with CI bounds).

• sex_accuracy — Accuracy for sex classification.

• age_mae — Mean absolute error for age prediction from connectivity (with CI bounds).

• age_r2 — R² for age prediction.

• gradients_similarity — Similarity of group-level connectivity gradients to a reference.

metrics.png

A summary visualization of the group-level metrics.

dmn_similarity_*.tsv

Per-subject DMN similarity statistics, including within-network mean connectivity, standard deviation, and correlation with the DMN template for each Yeo 7 network.